Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter
Joint Authors
Zhang, Youmin
Shin, Jong-Yeob
Wu, N. Eva
Caliskan, Fikret
Source
International Journal of Aerospace Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
An adaptive modified two-stage linear Kalman filtering algorithm is utilized to identify the loss of control effectiveness and the magnitude of low degree of stuck faults in a closed-loop nonlinear B747 aircraft.
Control effectiveness factors and stuck magnitudes are used to quantify faults entering control systems through actuators.
Pseudorandom excitation inputs are used to help distinguish partial loss and stuck faults.
The partial loss and stuck faults in the stabilizer are isolated and identified successfully.
American Psychological Association (APA)
Caliskan, Fikret& Zhang, Youmin& Wu, N. Eva& Shin, Jong-Yeob. 2014. Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter. International Journal of Aerospace Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-474230
Modern Language Association (MLA)
Caliskan, Fikret…[et al.]. Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter. International Journal of Aerospace Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-474230
American Medical Association (AMA)
Caliskan, Fikret& Zhang, Youmin& Wu, N. Eva& Shin, Jong-Yeob. Actuator Fault Diagnosis in a Boeing 747 Model via Adaptive Modified Two-Stage Kalman Filter. International Journal of Aerospace Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-474230
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474230